Results 71 to 80 of about 993 (170)
Sidelobe Level Reduction in the ACF of NLFM Signals Using the Smoothing Spline Method
The high level of sidelobes in the autocorrelation function of the nonlinear frequency modulation signal is a challenge. One of the conventional methods to reduce the sidelobe levels is to use the principle of stationary phase.
Roohollah Ghavamirad +2 more
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Thinning of antenna array via adaptive memetic particle swarm optimization
Massive multiple input multiple output antenna array is crucial for the fifth generation wireless communication. Proper antenna array design can reduce interference among different signals and generate desirable beamforming.
Xiu Zhang, Xin Zhang
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Improved Sparrow Search Algorithm for Sparse Array Optimization
The synthesis problem of the number of array elements, array element spacing, and array formation is widely concerned in sparse array optimization. The local optimum problem is still an urgent problem to be solved in the existing optimization algorithms.
Juanjuan Ji +5 more
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Optimal Design of Low Sidelobe Sparse Linear Arrays
To optimize the antenna performance in a sparse linear array (SLA) subject to specific constraints of the antenna aperture, number of elements and element spacing, this paper proposes an improved Differential Evolution (DE) algorithm integrating the ...
Li Wang, Fenggan Zhang, Banghuan Hou
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Array Design for Angle of Arrival Estimation Using the Worst-Case Two-Target Cramér-Rao Bound
Sparse array design is used to help reduce computational, hardware, and power requirements compared to uniform arrays while maintaining acceptable performance. Although minimizing the Cramér-Rao bound has been adopted previously for sparse sensing,
Costas A. Kokke +3 more
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Conventionally, both electrically larger (EL) arrays and sparse arrays offer the advantage of element number reduction but disadvantage of high sidelobe levels.
Yangkun Zhu +3 more
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Sequences with low auto-correlation sidelobes are important in diverse fields, including communications, radar, sonar, and medical imaging. The task of finding binary sequences with low auto-correlation is known as a difficult optimization problem ...
Janez Brest +3 more
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With the increasing complexity of the electromagnetic environment, radar waveform design needs to break through the limitation of traditional single-function architectures, prompting the emergence of integrated radar waveforms.
Haoting Guo +6 more
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Binary Sequences with Low Aperiodic Autocorrelations: Small Peak Sidelobe Levels
Binary sequences (binary codes), where the elements are −1 or +1, are useful in many fields, including communications, radar, sonar, mathematics, physics, and cryptography. This paper considers binary sequences with low aperiodic autocorrelations and focuses on the small peak sidelobe levels alongside the merit factor.
Janez Brest +4 more
openaire +1 more source
This study proposes a hybrid optimization algorithm (IFWA-SA) integrating an improved fireworks algorithm with simulated annealing for sparse array synthesis in multiple-input multiple-output (MIMO) radar systems.
Lifei Deng, Jinran Zhao, Yunqing Liu
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